Abstract
Retention index data consisting of 146 compounds commonly found in fuels are used to analyze the level of a psycho-chemical property similarity with cluster analysis methods. Cluster analysis is applied based on the temperature and column dependencies. The results show that the retention index was divided into four groups. The first group consists of benzene and cycloalkanes. The retention index of the compound shows high-temperature dependence and dependence on small column polarity. The second group consists of aromatic compounds and compounds that contain N, S, O. The retention index of these compounds shows dependence on temperature and polarity of large columns. The third group consists of aromatic compounds and hydrocarbons. The retention index of hydrocarbon compounds shows temperature dependence smaller than N, S, O. compounds and also the dependence on small column polarity. And the fourth group consists of only two compounds namely n-Hentriacontane and chrysene. The retention index of the two compounds shows a significant temperature dependence.
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